数据资产一定是AI经济中最关键的生产要素。要素如何资产化，如何变现？从技术角度讲，一定是区 块链化、加密化。中国只有快速地利用区块链技术让数据上链，我们才能确立这个数据的安全性和合法 性，才能真正让数据成为一种资产，才能进入市场负债表，能够产生信用。"数据要素的变现，这个方 向我是很看好的。"从应用场景角度讲，刘煜辉判断，RDA（Real Data Assets）将催生更多新型商业模 式与大公司。 责任编辑：杨赐 7月29日，新浪财经连线@刘煜辉lyhfhtx 博士，就A股走势、经济周期、资产配置等关键问题进行分 享。>>视频回顾 刘煜辉分析认为，中国经济转型过程中，以土地溢价为基础的财政体系受到严峻挑战。政府急于找到一 个新的生产要素，将其转化为有效收入，重构从中央到地方的财政基础，重构中国各个主体的资产负债 表。目前来看，唯一的选择就是数据了。数据要素的资产化，我们有很强的现实利益诉求。 炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ ...

Group 1 - The core theme of the forum is the transition from traffic competition to value creation in e-commerce platforms, emphasizing the importance of service e-commerce and the role of AI and big data in driving innovation [1][3] - E-commerce platforms are facing challenges such as declining user growth and high customer acquisition costs, making quality improvement a critical issue for industry development [2] - There is a structural contradiction for small and medium-sized enterprises (SMEs) in e-commerce, including external pressures, insufficient digitalization, and rising customer acquisition costs [2] Group 2 - E-commerce platforms can empower SMEs by reducing operational costs and lowering market entry barriers, as exemplified by Pinduoduo's initiatives [2] - The concept of service e-commerce involves integrating online and offline resources to provide personalized and efficient service delivery, moving beyond traditional O2O models [3][4] - AI and big data are seen as essential tools for enhancing service intelligence and personalization, with platforms like Pinduoduo leveraging these technologies to support SMEs [4] Group 3 - The application of AI in e-commerce is still in its early exploratory stages, with platforms beginning to optimize their processes but lacking a consensus on the economic implications of AI [5] - Policy recommendations include increasing government support for AI research, enhancing talent training in AI and service e-commerce, and developing regulations to promote the growth of service e-commerce [5]

Group 1 - The core message of the article emphasizes that the AI era is just beginning, with a focus on selling outcomes rather than tools, marking a shift towards a trillion-dollar opportunity in the AI sector [2][3][88] - The article highlights a fundamental change in the revenue model from selling tools to selling results, indicating that companies will now be evaluated based on their ability to deliver measurable outcomes [10][54][90] - The concept of "operating system-level AI" is introduced, suggesting that the future of AI will involve systems that actively manage tasks rather than merely responding to commands, thus reshaping the interaction between users and AI [23][25][29] Group 2 - The article discusses the emergence of an "agentic economy," where AI systems are not just tools but autonomous agents capable of decision-making and collaboration, fundamentally altering the economic landscape [31][38][88] - It outlines the transition from traditional software models to a new paradigm where AI applications are evaluated based on their ability to complete tasks and deliver results, rather than just their features [46][54][90] - The article stresses the importance of organizational structure in leveraging AI effectively, indicating that success will depend on how well companies can integrate AI into their workflows and decision-making processes [68][72][87] Group 3 - The article notes that the AI market is shifting from a focus on model capabilities to a focus on the ability to deliver results, with companies needing to adapt their strategies accordingly [17][54][90] - It emphasizes that the future of AI applications will rely on a collaborative network of intelligent agents rather than isolated tools, requiring a rethinking of organizational roles and responsibilities [38][72][86] - The article concludes that AI is evolving from a technical product to a new economic model, where the emphasis is on continuous delivery and self-driven collaboration rather than merely performing tasks [88][90][91]

Counterpoint AI 360 研讨会圆满落幕！ 深圳，2025 年 3月 20 日 2025年3月20日，由 Counterpoint Research 主办的AI 360研讨会在深圳东海朗庭酒店成功举办！ 本次研讨会以"智能移动生态中的AI经济"为主题，汇聚了58位全球行业领袖齐聚一堂，包括来自 顶尖企业高管、知名学者及资深分析师，共同探讨AI技术的前沿发展与商业机遇。 外部嘉宾：跨界视角激荡思维 本次研讨会首次特邀 3 位外部行业嘉宾，与 Counterpoint 资深分析师团队联袂呈现多维度深度洞 察。 陈晓春 OPPO AI技术战略规划总监 OPPO AI 手机实践与探索 汪扬 香港科技大学 副校长（大学拓展） Counterpoint Research 副总裁 2025 MWC 最新洞察：AI 从概念到落地 AI 360:从智能到万物智能 AI 时代的机遇与人才培养 周树峰 面壁智能 商业化副总裁 从无所不能到无处不在的大模型 （嘉宾先后顺序按照姓名首字母排序） 内部分析师：Counterpoint 资深分析师，数据驱动洞察 Tarun Pathak Counterpoint Resear ...

Core Insights - The AI 360 seminar hosted by Counterpoint Research focused on the theme of "AI Economy in the Smart Mobile Ecosystem," bringing together 58 global industry leaders to discuss advancements and business opportunities in AI technology [3][29]. Group 1: External Guests and Insights - The seminar featured three external industry guests who provided multi-dimensional insights alongside Counterpoint's senior analyst team [5]. - Key speakers included: - Chen Xiaochun, OPPO AI Technology Strategy Planning Director, discussing AI mobile practices and explorations [6]. - Wang Yang, Vice President of Hong Kong University of Science and Technology, addressing opportunities and talent cultivation in the AI era [7]. - Zhou Shufeng, Vice President of Mianbi Intelligent, presenting on the transition of large models from omnipotent to ubiquitous [9]. Group 2: Roundtable Discussion - A roundtable discussion, moderated by Counterpoint's senior analyst Archie Zhang, explored four core topics: - Technical bottlenecks and evolution directions of AI Agents - Competitive and cooperative relationships among mobile manufacturers, internet companies, and academic institutions in the Gen AI business ecosystem - Strategies for Chinese AI new forces to break through in global competition - Balancing innovation and ethics in AI sovereignty and regulatory frameworks [14][16]. Group 3: Participating Companies - The seminar attracted participation from 44 leading companies across the AI industry chain, covering a complete ecosystem from core hardware to terminal applications [17][19]. - Participating companies included OEMs, semiconductor component manufacturers, display technology firms, optical component manufacturers, ODMs, and representatives from information and communication technology (ICT) and telecom operators, highlighting the cross-domain penetration of AI technology and the necessity for collaborative innovation within the industry [19]. Group 4: Conclusion and Future Outlook - The AI 360 seminar concluded with a call for continued collaboration in building a global platform for AI technology and business, emphasizing the importance of strategic consensus and cooperative momentum for the future of the AI economy [29].

1.会议介绍 2.参会分析师预告 Peter Richardson Counterpoint Research 副总裁 Peter 在移动通信行业拥有 27 年的丰富经验，尤其在市场分析和企业发展战略方面造诣颇深。前 期，Peter 曾担任诺基亚全球市场与竞争情报主管，带领团队负责行业分析与量化研究。在加入 诺基亚之前，Peter 曾是 SoundView Technology Group 的股票分析师。更早之前，他在 Gartner 担 任副总裁兼移动与无线研究首席分析师。Peter 的职业生涯起步于 NEC 和松下，在这两家公司积 累了宝贵的行业经验。 Tarun Pathak Counterpoint Research 研究总监 在科技变革的浪潮中，AI 已成为产业革新的核心驱动力，深度重塑经济与产业生态，创造无限 机遇。作为科技市场研究机构，Counterpoint Research 将于 2025年3月20日 在深圳举办 AI 360 研 讨会，汇聚全球 AI 领域的优秀分析师、专家学者、行业领袖，共同探讨 AI 从基础到前沿领域 的发展、机遇与经济价值。 Archie Zhang Counterp ...